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Cap table management · November 2026 Edition

EquityList vs Capboard

One of fourteen models named EquityList first on the direct prompt; zero named Capboard. EquityList was named by seven of the fourteen models and Capboard by ten and EquityList carries 16 labels and Capboard 13, so the shares are not directly comparable.

EquityList

accepted challenger

Named in one category this edition.

Capboard

accepted challenger

Named in one category this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 11; printed, not drawn.
Labels1613A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, EquityList reading right to left. Rank and label count are printed, not drawn.Carta Equity was named alongside these two in thirteen of the fourteen direct answers. Carta Equity vs EquityList · Carta Equity vs Capboard · Eqvista vs EquityList

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the cap table management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
EquityListFirst choices, of fourteen modelsCapboard
Direct10
Paraphrase01
Comparative00
Budget-constrained00
Scale-constrained00
Negative002 against Capboard
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where EquityList and Capboard stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
EquityList Capboard first choice named as an alternative argued againstblank: not namedEach cell is one answer, EquityList on the left and Capboard on the right.

The direct prompt

The plain question, one answer per model, grouped by where EquityList and Capboard stood in it.

EquityList first, Capboard not the choice

1 of 14 modelsCapboard was named in the answer but not as the choice, or not at all.
MiniMax M2.5Carta Equity, EquityList alternatives: Ledgy, Qapita

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20Carta Equity alternatives: EquityList, Ledgy
Mistral SmallCarta Equity, Ledgy alternatives: EquityList
GLM 4.7 FlashXCarta Equity alternatives: AngelList Stack, Capboard, Fidelity Private Shares, Ledgy, Pulley, Walter

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Qapita alternatives: Cake Equity, Pulley, Shareworks
GPT-5.4 miniCarta Equity alternatives: Eqvista, Ledgy, Pulley
Gemini 3.5 FlashCarta Equity alternatives: Ledgy, Pulley, Shareworks
Perplexity SonarCarta Equity alternatives: Ledgy, Qapita, Shareworks
DeepSeek V4 FlashCarta Equity alternatives: Ledgy, Qapita
Llama 4 MaverickCarta Equity
Qwen 3.7 FlashCarta Equity, Ledgy alternatives: Pulley
Kimi K2Carta Equity alternatives: Ledgy, Qapita
GPT-6 LunaCarta Equity alternatives: Fidelity Private Shares, Shareworks
Muse Glimmer 30BCarta Equity alternatives: Ledgy, Morgan Stanley at Work Shareworks

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
EquityList2%#6 of 12
Capboard2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
EquityList2%#7 of 11
Capboard2%#8 of 11
The full mid-market standing →
Enterprise
Capboard leads by two points.
Capboard2%#– of 10
EquityList0%#– of 10
The full enterprise standing →

What the models said about EquityList

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“or EquityList if you have international operations. Both offer the scalability, compliance features, and integrations necessary for mid-market complexity” MiniMax M2.5 · direct prompt · first choice
“For regional compliance and AI features, especially in India/Singapore, EquityList is a strong contender.” Mistral Small · comparative prompt · alternative
“alternatives like Qapita, EquityList, Ledgy, and Cake Equity offer compelling features” MiniMax M2.5 · comparative prompt · alternative

What the models said about Capboard

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“G2 explicitly says there aren't enough reviews for Capboard to provide buying insight.” GPT-5.4 mini · negative prompt · soft negative
“Proceed carefully until pricing and product details are clearer.” Perplexity Sonar · negative prompt · soft negative
“the top recommended platforms are Ledgy, Eqvista, and Capboard” Qwen 3.7 Flash · paraphrase prompt · first choice
“Worth considering for European companies, with pricing reported around $30 per month for 15 stakeholders.” Perplexity Sonar · budget prompt · alternative
“Capboard (Best for European/UK Startups): Extremely affordable flat-rate pricing” Qwen 3.7 Flash · budget prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.